Article
Radiology, Nuclear Medicine & Medical Imaging
Haejung Kim, Ji Soo Choi, Kyunga Kim, Eun Sook Ko, Eun Young Ko, Boo-Kyung Han
Summary: This study investigated the impact of artificial intelligence-based computer-aided diagnosis (AI-CAD) on radiologists' interpretation of digital mammography (DM) in breast cancer screening. Results showed that AI-CAD improved specificity and reduced abnormal interpretation rates without affecting sensitivity, cancer detection rate, and positive predictive value for biopsy.
EUROPEAN RADIOLOGY
(2023)
Article
Multidisciplinary Sciences
L. M. F. H. Neeter, H. P. J. Raat, S. D. Meens-Koreman, R. S. A. van Stiphout, S. M. E. C. Timmermans, K. M. Duvivier, M. L. Smidt, J. E. Wildberger, P. J. Nelemans, M. B. Lobbes
Summary: The study aimed to evaluate the diagnostic performance of contrast-enhanced mammography (CEM) on an alternative vendor's system, showing improvements in sensitivity and specificity compared to low-energy images. The results suggest that performing CEM on the tested system leads to increased accuracy, similar to findings from studies conducted on other vendor's systems.
SCIENTIFIC REPORTS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mi-ri Kwon, Ji Soo Choi, Mi Yeon Lee, Sinae Kim, Eun Sook Ko, Eun Young Ko, Boo Kyung Han
Summary: This study evaluated the performance of supplemental automated breast ultrasound (AB US) in mammography-based breast cancer screening for Asian women. The results showed that AB US plus digital mammography increased the cancer detection rate, but had lower specificity for women with dense and nondense breasts.
Article
Medicine, General & Internal
Marcel Opitz, Sebastian Zensen, Katharina Breuckmann, Denise Bos, Michael Forsting, Oliver Hoffmann, Martin Stuschke, Axel Wetter, Nika Guberina
Summary: This study compared the radiation dose delivered by digital breast tomosynthesis (DBT) and digital mammography (FFDM) in a clinical follow-up setting. The results showed that the radiation dose was significantly higher for DBT in the mediolateral oblique (MLO) views compared to FFDM, but still below the national diagnostic reference level.
Article
Medicine, General & Internal
Hankiz Dolan, Kirsten McCaffery, Nehmat Houssami, Erin Cvejic, Meagan Brennan, Jolyn Hersch, Melanie Dorrington, Angela Verde, Lisa Vaccaro, Brooke Nickel
Summary: This randomized clinical trial found that breast density notification and information provision increased women's intention to seek supplemental screening and caused feelings of anxiety, confusion, and worry about breast cancer. These findings are important for mammogram screening services and policy makers considering whether and how to implement widespread notification of breast density.
Article
Radiology, Nuclear Medicine & Medical Imaging
Jose Luis Raya-Povedano, Sara Romero-Martin, Esperanza Elias-Cabot, Albert Gubern-Merida, Alejandro Rodriguez-Ruiz, Marina Alvarez-Benito
Summary: Using artificial intelligence systems in breast cancer screening can significantly reduce workload without compromising cancer detection rates, according to the study.
Review
Radiology, Nuclear Medicine & Medical Imaging
Martin. J. J. Yaffe
Summary: Beginning in 1972, the field of radiology underwent a transition from analog to digital imaging with the introduction of CT. This article provides a personal perspective on the collaborative effort among multiple institutions and disciplines to develop digital mammography. The collaboration involved individuals from academic research labs, industry, and the clinical arena, supported by government commitment. This effort greatly expedited the development of new imaging modalities and spinoff applications, leading to improved early detection of breast cancer.
Article
Radiology, Nuclear Medicine & Medical Imaging
Sadia Khanani, Carrie Hruska, Agnes Lazar, Mathias Hoernig, Axel Hebecker, Nancy Obuchowski
Summary: This study aimed to compare the superiority of wide-angle digital breast tomosynthesis plus synthetic mammography (Insight 2D) to full-field digital mammography (FFDM). The results showed that wide-angle DBT plus Insight 2D outperformed FFDM in terms of higher accuracy, sensitivity, and lower recall rates in diagnosing breast cancer.
ACADEMIC RADIOLOGY
(2023)
Article
Oncology
Shu Jiang, Debbie L. Bennett, Bernard A. Rosner, Graham A. Colditz
Summary: This study found that the rate of change in breast density was associated with the risk of subsequent breast cancer. Incorporation of longitudinal changes into existing models could optimize risk stratification and guide more personalized risk management.
Editorial Material
Biochemistry & Molecular Biology
Fiona Gilbert
Summary: Combining artificial intelligence with human expertise can be the best approach to enhance diagnostic accuracy in clinical imaging while ensuring safety.
Article
Radiology, Nuclear Medicine & Medical Imaging
Giulia Bicchierai, Simone Busoni, Paolo Tortoli, Silvia Bettarini, Federica Di Naro, Diego De Benedetto, Elena Savi, Chiara Bellini, Vittorio Miele, Jacopo Nori
Summary: This retrospective study compares the radiation dose received during CEDM, short and long protocol (CEDM SP and CEDM LP), with dose received during DM and DBT. The results show that CEDM SP results in higher radiation exposure compared with conventional DM and DBT but lower than the Combo mode. The dose administered during the CEDM SP is lower in patients with dense breasts regardless of their size.
ACADEMIC RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yonggeng Goh, Ching Wan Chan, Premilla Pillay, Herng-Sheng Lee, Huay-Ben Pan, Bao-Hui Hung, Swee Tian Quek, Chen-Pin Chou
Summary: This study developed an ADS model for risk assessment of tomosynthesis-detected architectural distortion (AD) lesions based on characteristics of contrast-enhanced digital mammography. The features of CEDM can be used to predict the malignant risk of AD lesions.
EUROPEAN RADIOLOGY
(2021)
Review
Radiology, Nuclear Medicine & Medical Imaging
Tone Hovda, Kaitlyn Tsuruda, Solveig Roth Hoff, Kristine Kleivi Sahlberg, Solveig Hofvind
Summary: The study reviewed mammograms for 1225 women with screen-detected breast cancer. Results showed that visible findings on prior screening mammograms were not necessarily indicative of screening failure. Some cases were classified as missed, aiming to improve the quality of breast cancer screening.
EUROPEAN RADIOLOGY
(2021)
Review
Engineering, Biomedical
N. W. Marshall, H. Bosmans
Summary: Virtual clinical trials (VCT) are being used to study breast imaging applications, particularly digital breast tomosynthesis imaging. This review compares the main components of VCT platforms, validation steps, practical applications, and limitations. Different techniques and models are used to simulate the imaging chain, and the need for transparency in describing the simulation frameworks is highlighted. Current challenges include resolution and memory constraints, accessing vendor-specific image processing methods, and the focus on detection tasks without search.
PHYSICS IN MEDICINE AND BIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Alistair Mackenzie, Sukhmanjit Kaur, Emma L. Thomson, Melissa Mitchell, Premkumar Elangovan, Lucy M. Warren, David R. Dance, Kenneth C. Young
Summary: The study aimed to measure the threshold diameter of calcifications and masses under different breast glandularities for various imaging modalities, revealing the strengths and weaknesses of each technology in visualizing small cancer features. The results showed that glandularity has a minor effect on calcification detection but significantly impacts the threshold diameter of masses across all tested modalities.